Triple

T9781314
Position Surface form Disambiguated ID Type / Status
Subject KTLA E237379 entity
Predicate sisterStation P15137 FINISHED
Object KTXL
KTXL is a Fox-affiliated television station serving the Sacramento, California market.
 E820680 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: KTXL | Statement: [KTLA, sisterStation, KTXL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KTXL
Context triple: [KTLA, sisterStation, KTXL]
  • A. KXLA
    KXLA is a television station based in Los Angeles, California, known for broadcasting a variety of multicultural and multilingual programming.
  • B. KTVL
    KTVL is the ICAO airport code for Lake Tahoe Airport, a public airport serving the Lake Tahoe region in California.
  • C. KRDG
    KRDG is the ICAO airport code for Reading Regional Airport, a public airport serving Reading, Pennsylvania, in the United States.
  • D. KDTW
    KDTW is the ICAO airport code for Detroit Metropolitan Wayne County Airport, a major international air transport hub serving the Detroit, Michigan metropolitan area.
  • E. KLNC
    KLNC is the ICAO airport code for Lancaster Regional Airport, a public aviation facility serving Lancaster, Texas.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: KTXL
Triple: [KTLA, sisterStation, KTXL]
Generated description
KTXL is a Fox-affiliated television station serving the Sacramento, California market.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KTXL
Target entity description: KTXL is a Fox-affiliated television station serving the Sacramento, California market.
  • A. KXLA
    KXLA is a television station based in Los Angeles, California, known for broadcasting a variety of multicultural and multilingual programming.
  • B. KTVL
    KTVL is the ICAO airport code for Lake Tahoe Airport, a public airport serving the Lake Tahoe region in California.
  • C. KRDG
    KRDG is the ICAO airport code for Reading Regional Airport, a public airport serving Reading, Pennsylvania, in the United States.
  • D. KDTW
    KDTW is the ICAO airport code for Detroit Metropolitan Wayne County Airport, a major international air transport hub serving the Detroit, Michigan metropolitan area.
  • E. KLNC
    KLNC is the ICAO airport code for Lancaster Regional Airport, a public aviation facility serving Lancaster, Texas.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca84da927881909bda80caecad6010 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda1b23cb88190b458ab18d5f7f493 completed April 1, 2026, 10:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1bd2e5f4c81908a3c132df6440947 completed April 5, 2026, 1:38 a.m.
NEDg Description generation batch_69d1bf4a414c81909ee12092315e714a completed April 5, 2026, 1:47 a.m.
NED2 Entity disambiguation (via description) batch_69d1c00dac1c81908c6c5dca384eddcc completed April 5, 2026, 1:51 a.m.
Created at: March 30, 2026, 8:27 p.m.